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Automatic unsupervised respiratory analysis of infant respiratory inductance plethysmography signals

Carlos A. Robles-Rubio, Robert E. Kearney, Gianluca Bertolizio, Karen A. Brown, Wajid Mumtaz
2020 PLoS ONE  
We developed an Automated Unsupervised Respiratory Event Analysis (AUREA) to classify breathing patterns obtained with dual belt respiratory inductance plethysmography and a reference using Expectation  ...  These findings support the use of AUREA to classify breathing patterns and warrant a future evaluation of clinically relevant respiratory events.  ...  Classification of pattern in samples obtained from expectation maximization (EM), AUREA (Automated Unsupervised Respiratory Event Analysis) and individual human scorers (IS).  ... 
doi:10.1371/journal.pone.0238402 pmid:32915810 fatcat:f3ybph6sa5hwpfxic4rdrazyae

Predictive modeling of respiratory tumor motion for real-time prediction of baseline shifts

A Balasubramanian, R Shamsuddin, B Prabhakaran, A Sawant
2017 Physics in Medicine and Biology  
Baseline shifts in respiratory patterns can result in significant spatiotemporal changes in patient anatomy (compared to that captured during simulation), in turn, causing geometric and dosimetric errors  ...  It also confirms the utility of prior data from previous patients, and also the necessity of training the classifier on some initial data from the new patient for reasonable prediction performance.  ...  Acknowledgments This work was partially supported through research funding from (i) the National Institutes of Health (R01CA169102); and (ii) the National Science Foundation (NSF) under Grant No. 1012975  ... 
doi:10.1088/1361-6560/aa58c3 pmid:28075331 pmcid:PMC5702258 fatcat:xanrrf7thvdzbh2z57s5l7xaty

Automated Screening of Children With Obstructive Sleep Apnea Using Nocturnal Oximetry: An Alternative to Respiratory Polygraphy in Unattended Settings

Daniel Álvarez, María L. Alonso-Álvarez, Gonzalo C. Gutiérrez-Tobal, Andrea Crespo, Leila Kheirandish-Gozal, Roberto Hornero, David Gozal, Joaquín Terán-Santos, Félix Del Campo
2017 Journal of Clinical Sleep Medicine (JCSM)  
The diagnostic performance of logistic regression models, manual obstructive apnea-hypopnea index (OAHI) from HRP, and the conventional oxygen desaturation index ≥ 3% (ODI3) were assessed.  ...  Logistic regression models were optimized using genetic algorithms (GAs) for three cutoffs for OSA: 1, 3, and 5 events/h.  ...  PSD, power spectral density PSG, polysomnography ROC, receiver operating characteristics RP, respiratory polygraphy RPb, signal relative power in the band of interest SampEn, sample entropy SD, standard  ... 
doi:10.5664/jcsm.6586 pmid:28356177 pmcid:PMC5406958 fatcat:wgqsb3inlfhmpc2zenqi2rr5z4

Oximetry use in obstructive sleep apnea

Félix del Campo, Andrea Crespo, Ana Cerezo-Hernández, Gonzalo C. Gutiérrez-Tobal, Roberto Hornero, Daniel Álvarez
2018 Expert Review of Respiratory Medicine  
From visual inspection to advanced signal processing, several studies have demonstrated the usefulness of oximetry as a screening tool.  ...  Currently, high-resolution portable devices combined with pattern recognitionbased applications are able to achieve high performance in the detection this disease.  ...  On the other hand, focusing on the use of oximetry alone, important limitations arise when comprehensive respiratory analyses are needed.  ... 
doi:10.1080/17476348.2018.1495563 pmid:29972344 fatcat:l6tdd5uijrf3bi4inxmfjhwgay

Unsupervised classification of operator workload from brain signals

Matthias Schultze-Kraft, Sven Dähne, Manfred Gugler, Gabriel Curio, Benjamin Blankertz
2016 Journal of Neural Engineering  
Our analyses ensured that the signal sources used for classification were of cortical origin and not contaminated with artifacts.  ...  In this study we aimed for the classification of operator workload as it is expected in many real-life workplace environments.  ...  Those four electrodes were excluded from all subsequent analyses.  ... 
doi:10.1088/1741-2560/13/3/036008 pmid:27078889 fatcat:apr7ee4skvek7k6qdfbic677ie

Artificial intelligence in prediction of mental health disorders induced by the COVID-19 pandemic among health care workers

Krešimir Ćosić, Siniša Popović, Marko Šarlija, Ivan Kesedžić, Tanja Jovanovic
2020 Croatian Medical Journal  
For example, data from Phase 4 can be used to model various labels emerging from Phases 1 and 2, such as estimation of objective stressor severity, available from Phase 1; or classification of high vs  ...  When considering labeled data, the main aim of supervised ML, as opposed to statistical methods, is the maximization of classification/prediction accuracy, while sacrificing model explainability and rigorous  ... 
pmid:32643346 pmcid:PMC7358693 fatcat:zdha3nib6fenvl3vmk6knpkgsm

Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets [chapter]

Rocío Cabrera-Lozoya, Jan Margeta, Loïc Le Folgoc, Yuki Komatsu, Benjamin Berte, Jatin Relan, Hubert Cochet, Michel Haïssaguerre, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant
2014 Lecture Notes in Computer Science  
We derived a principled analysis of confidence impact on classification.  ...  To achieve this, intensity and texture-based local image features are computed and random forests are used for classification.  ...  The aim of the current work was to analyse the feasibility of classification using solely image-based features on complex multi-modal data.  ... 
doi:10.1007/978-3-319-13972-2_14 fatcat:6qtu7hvcpbcgvhdsrv5hv7r7ga

Cardiopulmonary Exercise Testing in the Assessment of Dysfunctional Breathing

Maria F. Ionescu, Sethu Mani-Babu, Luiza H. Degani-Costa, Martin Johnson, Chelliah Paramasivan, Karl Sylvester, Jonathan Fuld
2021 Frontiers in Physiology  
We have provided guidance on how CPET can be used for diagnosis, including consideration of pattern recognition and use of specific data panels.  ...  ., predominant breathing pattern disorder or acute or chronic hyperventilation.  ...  AUTHOR CONTRIBUTIONS MI was primary author and was responsible for planning and putting together the first draft of the manuscript. MI, SM-B, LD-C, and CP contributed sections of the manuscript.  ... 
doi:10.3389/fphys.2020.620955 pmid:33584339 pmcid:PMC7873943 fatcat:zzjfa3ihmzfttnet5anpo7pjem

Creation of a Robust and Generalizable Machine Learning Classifier for Patient Ventilator Asynchrony

Gregory Rehm, Jinyoung Han, Brooks Kuhn, Jean-Pierre Delplanque, Nicholas Anderson, Jason Adams, Chen-Nee Chuah
2018 Methods of Information in Medicine  
We examined the use of synthetic minority over-sampling technique (SMOTE) to overcome class imbalance problems, varied methods for feature selection, and use of ensemble methods to optimize the performance  ...  Methods: Using a dataset of breaths recorded from 35 different patients, we used machine learning to create computational models to automatically detect, and classify two types of injurious PVA, double  ...  on a provisional patent (62/420,943) related to the use of these and other algorithms to detect PVA in clinical application.  ... 
doi:10.3414/me17-02-0012 fatcat:u52w4tnss5hanf4obqlavafa7q

Artifact rejection and cycle detection in immature breathing: Application to the early detection of neonatal sepsis

X. Navarro, F. Porée, A. Beuchée, G. Carrault
2015 Biomedical Signal Processing and Control  
This paper proposes a new framework to obtain quality respiratory variability signals from the raw breathing recorded in neonatal intensive care units (NICUs).  ...  By means of a gold standard built from a preterm infants database, the performances of the first and third blocks have been evaluated.  ...  Acknowledgment The authors would like to thank the clinicians from the Pôle Médico-Chirurgical de Pédiatrie et de Génétique Clinique of the CHU of Rennes for their large involvement in this study.  ... 
doi:10.1016/j.bspc.2014.10.007 fatcat:jqxberhdwzdwrjxe7o3pdbfiiy

The six-gene expression signature in whole sampled sputum provides clinically feasible inflammatory phenotyping of asthma

Laurits Frøssing, Ditte Kjærsgaard Klein, Vibeke Backer, Katherine Joanne Baines, Celeste Porsbjerg
2020 ERJ Open Research  
using manual plug selection.  ...  , to the conventional method of manual plug selection.Two separate sputum samples were collected from 27 patients with asthma; one processed as a whole sample in an Oragene-RNA RE 100 vial and one processed  ...  Classification of inflammation using gene expression was calculated from the multiple logistic regression models, where the optimal cut-off point for each ROC curve was calculated.  ... 
doi:10.1183/23120541.00280-2019 pmid:32166086 pmcid:PMC7061201 fatcat:p7e7zjn72rdkfbijvr2ouuotsm

Physical therapy treatment time during inpatient spinal cord injury rehabilitation

Sally Taylor-Schroeder, Jacqueline LaBarbera, Shari McDowell, Jeanne M. Zanca, Audrey Natale, Sherry Mumma, Julie Gassaway, Deborah Backus
2011 Journal of Spinal Cord Medicine (JSCM)  
Details about services provided, including time spent, will serve as a starting point in detailing the optimal treatment delivery for maximal outcomes.  ...  Methods: Six hundred patients from six inpatient SCI centers were enrolled in the SCIRehab study.  ...  Acknowledgements The contents of this paper were developed under grants from the National Institute on Disability and Rehabilitation Research, Office of Rehabilitative Services, US Department of Education  ... 
doi:10.1179/107902611x12971826988057 pmid:21675354 pmcid:PMC3066500 fatcat:gtdz33ti2zgi3l3dkex5b7ifa4

Data-driven classification of ventilated lung tissues using electrical impedance tomography

Camille Gómez-Laberge, Matthew J Hogan, Gunnar Elke, Norbert Weiler, Inéz Frerichs, Andy Adler
2011 Physiological Measurement  
In this article, we propose a novel application of a data-driven classification method to identify ventilated lung ROI based on forming k clusters from pixels with correlated signals.  ...  When testing for changes from baseline in lung position, tidal volume, and respiratory system compliance, we found that PEEP displaced the ventilated lung region dorsally by 2 cm, decreased tidal volume  ...  Acknowledgments This work was supported by the Natural Sciences and Engineering Council of Canada and the Heart and Stroke Foundation Centre for Stroke Recovery.  ... 
doi:10.1088/0967-3334/32/7/s13 pmid:21646699 fatcat:nifw2pgpsndjpgw6ve67b45wam

Analyses of Heart Rate, Respiration and Cardiorespiratory Coupling in Patients with Schizophrenia

Steffen Schulz, Karl-Jürgen Bär, Andreas Voss
2015 Entropy  
CRC analyses revealed a clear coupling, with a driver-responder relationship from respiration to heart rate in SZ patients.  ...  Moreover, a slight driver-responder relationship from heart rate to respiration could be recognized.  ...  Acknowledgments This work was partially supported using grants from the Thuringian Ministry of Economy, Labor and Technology and European fund for regional development (EFRE) 2014KN0018 and by grants from  ... 
doi:10.3390/e17020483 fatcat:unyqcaxee5gs3oux2n5iroaxc4
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